Building Data Science Portfolio using Github

Learn how the key to a successful data science practice is storytelling.

Do you want to step into the data science profession? Showcasing your work through a portfolio is as important as building the required skills. After all, the key to a successful data science practice is storytelling.

In this session, you will learn:
-- What is GitHub?
-- What is a repository and how do I create one?
-- Where to develop your project?
-- Ideas for projects
-- README tips
-- Share your projects on social media (LinkedIn, Medium,
-- And more!

Saishruthi (IBM AI)

Saishruthi Swaminathan is an advocate for Trustworthy AI and an Advisory Data Scientist at IBM. She has a Masters in Electrical Engineering specializing in Data Science and a Bachelor degree in Electronics and Instrumentation. Her passion is to dive deep into the ocean of data, extract insights, and use AI for social good. Previously, she worked as a Software Developer. She is on a mission to spread the knowledge and experience she acquired in her learning process. She also leads an education for rural children initiative and speaks at meetups focussing on Trustworthy AI and Women Empowerment.
  • Date: Sep 08, 10:00 (US Pacific Time)
  • Fee: Free
  • Available Seats: 216 (max 500)
  • Help? Send Question
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